MPhil Dissertations Supervised
See the MLMI and MLSALT Course Highlights pages for dissertations, posters, etc.
F. Khnaisser. Direct Preference Optimisation for Natural Language Generation with Minimum Bayes Risk Decoding, 2024 [pdf]
F. Zhu. Reranking Multi-Modal Retrievers for Knowledge-Based Visual Question Answering, 2024 [pdf]
G. Yang. Multilingual Models in Neural Machine Translation, 2023 [pdf]
A. Nanu. Improving Schema Generation for Robust Schema-Guided Dialogue State Tracking, 2023
K. Nikoic ́. Incorporating Vision Encoders into Retrieval Augmented Visual Question Answering, 2023 [pdf]
X. Li. Incorporating Vision Encoders into Retrieval Augmented Visual Question Answering, 2023 [pdf]
Ryan Anderson. Joint Learning of Practical Dialogue Systems and User Simulators, 2022 [pdf]
Alistair McLeay. Vision Encoders in Question Answering, 2022 [pdf]
Kaiqu Liang. Interactive Video Retrieval with Natural Language Queries, 2022 (joint with Dr. Samuel Albanie)
Tisha Anders. Natural Language Generation from Structured Data, 2021
Gabrielle Lau. Mitigating Gender Bias in Dialogue Generation, 2021 [pdf]
Nicholas Pezzotti. GPT-3 for Few-Shot Dialogue State Tracking, 2021 [pdf]
Bart Melman. Fact Checking Fake News, 2019 (with Dr M. Tomalin) [pdf]
Sjoerd De Jong. Techniques for Compressing Deep Neural Networks, 2018 (with Dr A. Damianou, Amazon Inc)
Gregory Kell. Overcoming Catastrophic Forgetting in Neural Machine Translation, 2018 [pdf]
Osman Zubair. Neural Network Compression, 2018 (with Dr T. Meeds, Microsoft Research) [pdf]
Ashwin D'Cruz. Tradeoffs in Neural Variational Inference, 2017 (with Dr S. Nowozin, Microsoft Research) [pdf]
James Rampersad. Learning in Neural Program Lattices Using Only Weak Supervision, 2017 (with Dr N. Kushman, Microsoft Research)
Sihui Wang. Structured Priors for Policy Optimisation, 2017 (with Dr T. Gunter, Apple Inc)
Jiameng Gao. Variable length word encodings for neural translation models, 2016 [pdf]
Konstantinos Tsakalis. Semi-Supervised Training for Historic Handwritten Text Recognition, 2016
Shuqing Teresa Yeo. Bayesian optimisation for machine translation and NLP, 2016
Marcin Tomczak. BachBot, 2016 (joint with Dr Matthew Johnson, Microsoft, Cambridge) [pdf]
Feynman Liang. BachBot, 2016 (joint with Dr Matthew Johnson, Microsoft, Cambridge) [pdf]
Mohammad Ahmad. Bayesian Non-parametric Framework for the Analysis of Financial Time Series, 2016 (joint with Dr Tristan Fletcher, Thought Machine)
Matic Horvat. Lagrangian Relaxation for String Regeneration, 2013
Thomas Foreman. Model extrapolation for HMM-based speech synthesis, 2010 (joint with Dr. M. Gibson)
Zeynabalsadat Raeesy. Model Interpolation for Speech Synthesis, 2009 (joint with Dr. M. Gibson)
Aurelien Waite. Hadoop Clusters for Statistical Speech and Language Processing, 2009
Fei Zuo. An HTK + OpenFst ASR Decoder, 2008 (joint with Prof. P.C. Woodland)
Lu Feng. Limited domain synthesis, 2008
Dulip Herath. Lexical Context in HMM Word Alignment, 2008
Arthi Murugesan. Small Language Models for Large Problems, 2007
Wenxiao Yuan. Small Language Models for Large Problems, 2007
Dmitry Sharkov. Phrasal Models in Stochastic Machine Translation, 2006
Y.Q. (Jack) Liu. Phrasal Language Models in Stochastic Machine Translation, 2006
J. Smith. Phrasal Language Models in Stochastic Machine Translation, 2005
Gaurav Sachdev. Phrase Order and Phrase Translation in Statistical Machine Translation, 2005
Xiaoxiao Zhu. Phrase Order and Phrase Translation in Statistical Machine Translation, 2005